Agents SDKs

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from livekit.agents import AgentTask, function_tool
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class CollectConsent(AgentTask[bool]):
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    def __init__(self, chat_ctx=None):
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        super().__init__(
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            instructions="""
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            Ask for recording consent and get a clear yes or no answer.
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            Be polite and professional.
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            """,
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            chat_ctx=chat_ctx,
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        )
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    async def on_enter(self) -> None:
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        await self.session.generate_reply(
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            instructions="""
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            Briefly introduce yourself, then ask for permission to record the call for quality assurance and training purposes.
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            Make it clear that they can decline.
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            """
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        )
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    @function_tool
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    async def consent_given(self) -> None:
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        """Use this when the user gives consent to record."""
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        self.complete(True)
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    @function_tool
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    async def consent_denied(self) -> None:
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        """Use this when the user denies consent to record."""
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        self.complete(False)

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from livekit.agents import AgentSession, inference
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session = AgentSession(
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    stt=inference.STT(
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        model="deepgram/flux-general",
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        language="en"
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    ),
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    llm=inference.LLM(
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        model="openai/gpt-4.1-mini",
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    ),
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    tts=inference.TTS(
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        model="cartesia/sonic-3",
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        voice="9626c31c-bec5-4cca-baa8-f8ba9e84c8bc",
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    ),
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)

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from livekit.agents import function_tool, Agent, RunContext
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class MyAgent(Agent):
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    @function_tool()
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    async def lookup_weather(
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        self,
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        context: RunContext,
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        location: str,
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    ) -> dict[str, Any]:
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        """Look up weather information for a given location.
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        Args:
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            location: The location to look up weather information for.
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        """
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        return {"weather": "sunny", "temperature_f": 70}

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from livekit.plugins.turn_detector.multilingual import MultilingualModel
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from livekit.agents import AgentSession, inference
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session = AgentSession(
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    turn_detection=MultilingualModel(),
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    stt=inference.STT(language="multi"),
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    # ... vad, stt, tts, llm, etc.
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)